eprintid: 21246
rev_number: 18
eprint_status: archive
userid: 1903
dir: disk0/00/02/12/46
datestamp: 2013-11-11 17:12:59
lastmod: 2014-09-22 11:23:10
status_changed: 2013-11-11 17:12:59
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Gajate, Agustín
creators_name: Bustillo, Andrés
creators_name: Haber Guerra, Rodolfo E.
title: Transductive neurofuzzy-based torque control of a milling process: results of a case study
ispublished: pub
subjects: robotica
abstract: This paper presents the design and implementation of an intelligent control system based on local neurofuzzy models of the milling process relayed through an Ehternet-based application. Its purpose is to control the spindle torque of a milling process by using an internal model control paradigm to modify the feed rate in real time. The stabilization of cutting cutting torque is especially necessary in milling processes such as high-spedd roughing of steel moulds and dies tha present minor geometric uncertainties. Thus, maintenance of the curring torque increaes the material removal rate and reduces the risk of damage due to excessive spindle vibration, a very sensitive and expensive component in all high-speed milling machines. Torque control is therefore an interesting challenge from an industrial point of view.
date: 2012-05
date_type: published
publisher: ICIC
official_url: http://www.ijicic.org/contents-(2012).htm
full_text_status: restricted
publication: International Journal of Innovative Computing Information And Control
volume: 8
number: 5 (B)
pagerange: 3495-3510
institution: Car
department: otro
refereed: TRUE
issn: 1349-4198
rights: by-nc-nd
citation:   Gajate, Agustín and Bustillo, Andrés and Haber Guerra, Rodolfo E.  (2012).  Transductive neurofuzzy-based torque control of a milling process: results of a case study.   "International Journal of Innovative Computing Information And Control", v. 8  (n. 5 (B));   pp. 3495-3510.  ISSN 1349-4198.    
document_url: https://oa.upm.es/21246/1/INVE_MEM_2012_144155.pdf